A novel approach to solving the problem of controlling nonlinear systems is based on the so-called Koopman operator. The Koopman operator is a linear operator that governs the evolution of scalar functions (often referred to as observables) along the trajectories of a given nonlinear dynamical system and is a powerful tool for the analysis and decomposition of nonlinear dynamical systems. The main idea is to lift the nonlinear dynamics to a higher dimensional space where its evolution can be described with a linear system model. This dataset is used to create a model predictive controller for vehicle dynamics based on the Kooopman operator decomposition of vehicle dynamics with Extended Dynamic Mode Decomposition (EDMD) method., Model identification and predictive controller design are designed using Matlab/Simulink environment.